A residual-driven adaptive Gaussian mixture approximation for Bayesian inverse problems.
Yuming BaLijian JiangPublished in: J. Comput. Appl. Math. (2022)
Keyphrases
- gaussian mixture
- inverse problems
- closed form
- image reconstruction
- global optimization
- convex optimization
- em algorithm
- expectation maximization
- covariance matrix
- gaussian mixture model
- optimization problems
- maximum likelihood
- mixture model
- computational complexity
- density estimation
- optimization methods
- genetic algorithm
- early vision
- computer vision
- partial differential equations
- bayesian networks
- machine learning
- probabilistic model